Triple
T15223385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sotheby’s Institute of Art |
E363815
|
entity |
| Predicate | hasAlumniCareerPath |
P89630
|
FINISHED |
| Object | auction houses |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: auction houses | Statement: [Sotheby’s Institute of Art, hasAlumniCareerPath, auction houses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlumniCareerPath Context triple: [Sotheby’s Institute of Art, hasAlumniCareerPath, auction houses]
-
A.
hasAlumniOutcome
Indicates that an entity has a specific outcome or post-completion status associated with its alumni.
-
B.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
-
C.
hasProfessionalAlumni
chosen
Indicates that an institution or organization has alumni who have gone on to work in a specified profession or professional field.
-
D.
hasAlumniField
Indicates a relationship where an entity is associated with a specific field or area of study in which its alumni specialized or graduated.
-
E.
hasAlumnusPosition
Indicates that an individual holds or has held a position or role as an alumnus of a particular institution or organization.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078a9318819081db3b7bcc28e04f |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:12 a.m.